CVE-2022-24070 (GCVE-0-2022-24070)
Vulnerability from cvelistv5 – Published: 2022-04-12 17:50 – Updated: 2024-08-03 03:59
VLAI
EPSS
VEX
Title
Apache Subversion mod_dav_svn is vulnerable to memory corruption
Summary
Subversion's mod_dav_svn is vulnerable to memory corruption. While looking up path-based authorization rules, mod_dav_svn servers may attempt to use memory which has already been freed. Affected Subversion mod_dav_svn servers 1.10.0 through 1.14.1 (inclusive). Servers that do not use mod_dav_svn are not affected.
Severity
7.5 (High)
CWE
- CWE-416 - Use After Free
Assigner
References
8 references
| URL | Tags |
|---|---|
| https://issues.apache.org/jira/browse/SVN-4880 | x_refsource_MISC |
| https://bz.apache.org/bugzilla/show_bug.cgi?id=65861 | x_refsource_MISC |
| https://cwiki.apache.org/confluence/display/HTTPD… | x_refsource_MISC |
| https://www.debian.org/security/2022/dsa-5119 | vendor-advisoryx_refsource_DEBIAN |
| https://lists.fedoraproject.org/archives/list/pac… | vendor-advisoryx_refsource_FEDORA |
| https://lists.fedoraproject.org/archives/list/pac… | vendor-advisoryx_refsource_FEDORA |
| https://support.apple.com/kb/HT213345 | x_refsource_CONFIRM |
| http://seclists.org/fulldisclosure/2022/Jul/18 | mailing-listx_refsource_FULLDISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Apache Software Foundation | Apache Subversion |
Affected:
1.10.0 to 1.14.1
|
guessed |
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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